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Utilities developed to tackle specific problems in one medical imaging "College student Innovation" program (Dachuang).
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## Slice.py & cuto1024.py
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## Classification
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### cls_proto.py
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Testing different classifiers for determination of clue cells.
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### testimg.py & testimg_plot.py
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Test images and write clue cells detection results to file.
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## Making datasets
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### Slice.py & cuto1024.py
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Slice images of various resolution to 1024*1024px images, preserving bounding boxes that mostly fit into the picture.
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## voc2coco.py
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###voc2coco.py
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Convert PASCAL-VOC style annotations to MS COCO format.
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## multiple_json2coco.py
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###multiple_json2coco.py
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Merge discrete JSON annotations into one, as MS COCO dataset.
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## demo.py
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###demo.py
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Test a model and draw both generated and pre-annotated bounding boxes on testing images.
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## testall.py
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Test all epochs of a run with one config, and compare results of them.
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## Other utilities
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### notify_with_email.py
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Supervise the training progress in background, report at each epoch's start with email, also automatically test the last epoch and send the result with email when a new epoch starts.
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